"Overview of HTTP (HyperText Transfer Protocol)" matching MCP servers:

First HTTP-native MCP server for Obsidian that solves stdio transport bugs, enabling AI assistants to manage Obsidian notes without crashes.

Enables writing and reading diary entries via MCP, with optional mood tags, using Supabase for storage and supporting streamable HTTP for public access.

Exposes LLM Wiki desktop capabilities via Streamable HTTP transport for MCP clients, enabling project listing, file reading, search, and knowledge graph queries through a secure API.

A TypeScript-based MCP server that implements a simple note-taking system using low-level server components and streamable HTTP. It enables users to create, store, and summarize text notes through a set of tools, resources, and specialized prompts.

An MCP server for managing contextual data as markdown files with metadata, enabling agents to save, retrieve, search, and delete contexts using simple CRUD operations.

Enables AI assistants to read, search, and traverse your reMarkable tablet's library, including handwritten notes via OCR.

An MCP server that provides controlled read/write tools for managing local-first research memory in an Obsidian vault, enabling AI agents to maintain project context across sessions.

Provides persistent local memory of Claude Code sessions with TODO management and searchable activity logs via MCP tools.

An MCP server that lets Claude or ChatGPT read, create, and edit mind maps stored in a GitHub repository, with support for local and HTTP transport.

Reads the local SQLite cache of the Notion desktop app to enable fast, offline search and retrieval of Notion pages from Claude.

Enables deterministic, token-minimal multi-hop retrieval from a vault of [[wikilink]] notes via the Model Context Protocol, allowing LLMs to answer questions by following authored links without vector databases or LLM calls during retrieval.

A Model Context Protocol server that turns your Joplin notebook into a tool an LLM can actually use — read, search, write, and organize notes, and pull OCR'd text straight out of your screenshots.

Enables interaction with your Logseq personal knowledge management system via MCP, allowing retrieval of tagged notes and todo lists through Logseq's HTTP API.

Lets AI assistants read rooms and notes and send signed messages to the chat over HTTP, with robust token signing and rate-limit handling.

A Model Context Protocol server that enables LLMs to interact with MindManager mind maps, allowing retrieval of mind map structures and export to formats like Mermaid, Markdown, and JSON.

A server that enables AI assistants to access and manipulate Joplin notes through the Model Context Protocol, allowing search, reading, editing, and management of notes using natural language.

MCP server for Google NotebookLM enabling notebook, source, and audio overview management with hybrid metadata storage.

Enables AI assistants to interact with Obsidian vaults for creating, reading, searching, and managing notes, daily notes, TODOs, session reports, and backlinks through both stdio and HTTP/SSE transports.

A pure-TypeScript MCP server for Google NotebookLM using the batchexecute RPC protocol. Enables management of notebooks, sources, chat, and artifact generation with no Python dependencies.

Enables users to manage a persistent todo list through natural language, supporting adding, listing, toggling completion status, and removing todos. Features both stdio and HTTP transports with optional authentication and JSON file storage.